CN106308758A - Screening method and system based on body temperature data curves - Google Patents
Screening method and system based on body temperature data curves Download PDFInfo
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- CN106308758A CN106308758A CN201510374238.5A CN201510374238A CN106308758A CN 106308758 A CN106308758 A CN 106308758A CN 201510374238 A CN201510374238 A CN 201510374238A CN 106308758 A CN106308758 A CN 106308758A
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Abstract
The invention provides a screening method based on body temperature data curves. The screening method comprises the following steps: acquiring a body temperature data curve, wherein the body temperature data curve contains body temperature data within the xth time period of the dth day in the mth month, m is an integer which is more than or identical to 1, d is a positive integer which is less than or identical to 31 and x is a time period within 24h; de-noising the body temperature data curve so as to obtain the de-noised body temperature data curve; in accordance with the de-noised body temperature data curve, obtaining a monthly temperature trend, a daily temperature trend and a daily irregular temperature changing trend; in accordance with the monthly temperature trend and the daily temperature trend, obtaining a circadian rhythm curve; acquiring another body temperature data curve, and comparing the circadian rhythm curve with the body temperature data curve so as to obtain a similarity index of the two curves; and in accordance with the similarity index, judging whether the rhythms of the body temperature data curves are changed or not, and judging that the body temperature data curves are screened out when the rhythms are changed while judging that the body temperature data curves are not screened out when the rhythms are not changed. With the application of the screening method provided by the invention, a daily lowest body temperature point can be accurately found out, so as to bring about benefits for following data analysis.
Description
Technical field
The present invention relates to temperature data processing technology field, particularly to a kind of sieve based on temperature data curve
Checking method and system.
Background technology
Body temperature, is often referred to the temperature of inside of human body, the mean temperature in body deep.Refer to thin biologically
The temperature of extracellular fluid, generally 37 degree, normal person's auxillary temperature is 36.2～37.2 degree, and measuring method has mouth
Survey method, measurement of axillary temperature and anus survey method.Oral temperature is higher 0.2～0.4 degree than oxter, and rectal temperature is again than oral cavity temperature
Spend high 0.3～0.5 degree.
The temperature of human body is relative constancy, and normal person's body temperature in 24 hours slightly fluctuates, and general difference is not
More than 1 degree.Under physiological status, morning, body temperature was lower slightly, and afternoon is slightly higher.Motion, feed after, woman in menstrual period
Before phase or trimester of pregnancy body temperature is slightly higher, and old people's body temperature is on the low side.Body temperature is referred to as heating higher than normal, 37.3～
38 degrees Celsius is low grade fever, and 38.1～39 degrees Celsius are generated heat for moderate, and 39.1～41 degrees Celsius is high heat, and 41 take the photograph
It more than family name's degree it is excessive heat.Human body temperature relative constancy be maintain human normal vital movement essential condition it
One, as each system (particularly nerveous system will be had a strong impact on when body temperature is higher than 41 degrees Celsius or is less than 25 degrees Celsius
System) functional activity, even life threatening.The heat production of body and heat radiation, regulated by nerve centre, very
Many diseases all can make body temperature normal regulating function generation obstacle make body temperature change.
In prior art, after Fundamentals of Measurement body temperature is typically to wake up in the morning, about point in morning 6, in the state of reposing
Under single measurement.But numerous studies find moment not morning about 6 that body temperature touches the bottom,
Should be that therefore the minimum body temperature measured by prior art is the most accurate between morning 2-5 point.
Summary of the invention
It is an object of the invention to provide a kind of screening method based on temperature data curve and system, to solve
Minimum body temperature problem the most accurately measured by prior art.
For solving above-mentioned technical problem, the present invention provides a kind of screening method based on temperature data curve, bag
Include:
Obtaining temperature data curve, described temperature data curve includes the body of the x period of the d days m-th moons
Temperature data；Wherein, m is greater than the integer equal to 1, and d is less than the positive integer equal to 31, and x is 24 little
Certain period in time；
Described temperature data curve is carried out denoising, it is thus achieved that the temperature data curve after denoising；
Monthly temperature trend, every day is drawn according to the temperature data curve negotiating time series after described denoising
Temperature trend and irregular temperature change every day trend；
Circadian curve is obtained according to monthly temperature trend and temperature trend every day；
Again obtain another temperature data curve, by described circadian curve and described temperature data curve
Compare the index similarity obtaining two curves；Described temperature data is judged according to described index similarity
Whether the rhythm and pace of moving things of curve changes, if changing, being screened out, if not changing, not being screened out.
Further, in described screening method based on temperature data curve, measured by thermometer
Body temperature obtains the body temperature of the t of the d days m-th moons of continuous print；And according to the described continuous print m-th moon
The body temperature of the t of the d days obtains the temperature data of the x period of the d days m-th moons；Wherein, t is 24
In hour sometime.
Further, in described screening method based on temperature data curve, described temperature data is entered
The step of the temperature data after row denoising acquisition denoising includes:
Described temperature curve is divided into some sections of little curves；
Analyze the factor producing noise in every section little curve, and use corresponding according to the factor producing noise
Method carries out denoising to this section little curve；
Little curve after denoising is integrated into complete continuous print temperature curve.
Further, in described screening method based on temperature data curve, drawn by equation below
Monthly temperature trend, temperature trend every day and irregular temperature change every day trend:
Tmdt=Tm+Tmd+εmdt,Wherein, TmdtWhen representing the t of the d days m-th moons after denoising
The temperature data carved, TmRepresent monthly temperature trend, TmdRepresent temperature trend every day, εmdtRepresent every day not
Regular temperature alteration trend.
Accordingly, the present invention also provides for a kind of screening system based on temperature data curve, including:
Obtaining module, for obtaining a body temperature data and curves, described temperature data curve includes the m-th moon the
The temperature data of the x period of d days；Wherein, m is greater than the integer equal to 1, and d is less than equal to 31
Positive integer, x is certain period in 24 hours；
Denoising module, for carrying out denoising to described temperature data curve, it is thus achieved that the temperature data after denoising is bent
Line；
Analyze module, for drawing monthly according to the temperature data curve negotiating time series after described denoising
Temperature trend, temperature trend every day and irregular temperature change every day trend；
Circadian curve module, for obtaining recently save according to monthly temperature trend and temperature trend every day
Rule curve；
Object module, for again obtaining another temperature data curve, by described circadian curve and institute
State temperature data curve and compare the index similarity obtaining two curves；Sentence according to described index similarity
Whether the rhythm and pace of moving things of fixed described temperature data curve changes, if changing, being screened out, if not changing, not being sieved
Find.
Further, in described screening system based on temperature data curve, in obtaining module, logical
Cross thermometer and measure the body temperature that body temperature obtains the t of the d days m-th moons of continuous print；And according to described
The body temperature of the t of the d days m-th moons of continuous print obtains the body temperature number of the x period of the d days m-th moons
According to；Wherein, during t is 24 hours sometime.
Further, in described screening system based on temperature data curve, described denoising module includes:
Segmentation module, for being divided into some sections of little curves by described temperature curve；
Analyze denoising module, for analyzing the factor producing noise in every section little curve, and according to producing noise
Factor use corresponding method this section little curve is carried out denoising；
Integrate module, for the little curve after denoising is integrated into complete continuous print temperature curve.
Further, in described screening system based on temperature data curve, in described analysis module,
Monthly temperature trend, temperature trend every day and irregular temperature change every day trend is drawn by equation below:
Tmdt=Tm+Tmd+εmdt,Wherein, TmdtWhen representing the t of the d days m-th moons after denoising
The temperature data carved, TmRepresent monthly temperature trend, TmdRepresent temperature trend every day, εmdtRepresent every day not
Regular temperature alteration trend.
The screening method based on temperature data curve of present invention offer and system, have the advantages that
The present invention have found body temperature minimum point every day, beneficially subsequent data analysis more accurately.
Accompanying drawing explanation
Fig. 1 is the screening method flow chart based on temperature data curve of the embodiment of the present invention；
Fig. 2 is the screening system structure chart based on temperature data curve of the embodiment of the present invention.
Detailed description of the invention
The screening method based on the temperature data curve present invention proposed below in conjunction with the drawings and specific embodiments
And system is described in further detail.According to following explanation and claims, advantages and features of the invention
Will be apparent from.It should be noted that, accompanying drawing all uses the form simplified very much and all uses non-ratio accurately,
Only in order to facilitate, to aid in illustrating lucidly the purpose of the embodiment of the present invention.
Refer to Fig. 1, it is the method flow diagram finding body temperature minimum point every day of the embodiment of the present invention.
As it is shown in figure 1, the present invention provides a kind of screening method based on temperature data curve, including: step
One: obtaining temperature data curve, described temperature data curve includes the body of the x period of the d days m-th moons
Temperature data；Wherein, m is greater than the integer equal to 1, and d is less than the positive integer equal to 31, and x is 24 little
Certain period in time；
In this step, measure body temperature by thermometer and obtain the t of the d days m-th moons of continuous print
Body temperature；And obtain m-th moon d according to the body temperature of the t of described the d days m-th moons of continuous print
The temperature data of it x period；Wherein, during t is 24 hours sometime.
Step 2: described temperature data curve is carried out denoising, it is thus achieved that the temperature data curve after denoising；
In this step, step is specifically included:
Described temperature curve is divided into some sections of little curves；
Analyze the factor producing noise in every section little curve, and use corresponding according to the factor producing noise
Method carries out denoising to this section little curve；
Little curve after denoising is integrated into complete continuous print temperature curve.
Step 3: show that monthly temperature becomes according to the temperature data curve negotiating time series after described denoising
Gesture, temperature trend every day and irregular temperature change every day trend；
Specifically, draw monthly temperature trend, temperature trend every day by equation below and do not advise every day
Then temperature change trend:
Tmdt=Tm+Tmd+εmdt,Wherein, TmdtWhen representing the t of the d days m-th moons after denoising
The temperature data carved, TmRepresent monthly temperature trend, TmdRepresent temperature trend every day, εmdtRepresent every day not
Regular temperature alteration trend.
Step 4: obtain circadian curve according to monthly temperature trend and temperature trend every day；
Specifically, circadian curve is drawn by equation below: circadian curve=Tm+Tmd。
Step 5: again obtain another temperature data curve, by described circadian curve and described body temperature
Data and curves compares the index similarity obtaining two curves；Judge described according to described index similarity
Whether the rhythm and pace of moving things of temperature data curve changes, if changing, being screened out, if not changing, not being screened out.
Accordingly, refer to Fig. 2, it is screening system based on the temperature data curve knot of the embodiment of the present invention
Composition.The present invention provides a kind of screening system based on temperature data curve, including: obtain module 21, go
Module of making an uproar 22, analysis module 23, circadian curve module 24 and object module 25, wherein,
Described acquisition module 21, is used for obtaining temperature data curve, and described temperature data curve includes m-th
The temperature data of the x period of the d days moons；Wherein, m is greater than the integer equal to 1, and d is less than being equal to
The positive integer of 31, x is certain period in 24 hours；
In described acquisition module 21, measure body temperature by thermometer and obtain the d days m-th moons of continuous print
The body temperature of t；And obtain m according to the body temperature of the t of described the d days m-th moons of continuous print
The temperature data of the x period of individual month the d days；Wherein, during t is 24 hours sometime.
Described denoising module 22, for carrying out denoising to described temperature data curve, it is thus achieved that the body temperature after denoising
Data and curves；
Concrete, described denoising module 22 includes:
Segmentation module 221, for being divided into some sections of little curves by described temperature curve；
Analyze denoising module 222, for analyzing the factor producing noise in every section little curve, and make an uproar according to generation
The factor of sound uses corresponding method that this section little curve is carried out denoising；
Integrate module 223, for the little curve after denoising is integrated into complete continuous print temperature curve.
Described analysis module 23, for carrying out denoising to described temperature data curve, it is thus achieved that the body temperature after denoising
Data and curves；
In described analysis module 23, draw monthly temperature trend, temperature trend every day by equation below
Temperature change trend irregular with every day:
Tmdt=Tm+Tmd+εmdt,Wherein, TmdtWhen representing the t of the d days m-th moons after denoising
The temperature data carved, TmRepresent monthly temperature trend, TmdRepresent temperature trend every day, εmdtRepresent every day not
Regular temperature alteration trend.
Described circadian curve module, for obtaining near according to monthly temperature trend and temperature trend every day
Daily rhythm curve, in described circadian curve module, draws circadian curve by equation below:
Circadian curve=Tm+Tmd。
Described object module 25, for again obtaining another temperature data curve, described circadian is bent
Line and described temperature data curve compare the index similarity obtaining two curves；According to described similarity
Index judges whether the rhythm and pace of moving things of described temperature data curve changes, if changing, is screened out, if not changing,
It is not screened out.
In sum, the present invention have found body temperature minimum point every day, beneficially subsequent data analysis more accurately.
Foregoing description is only the description to present pre-ferred embodiments, not any restriction to the scope of the invention, this
Any change that the those of ordinary skill of invention field does according to the disclosure above content, modification, belong to right
The protection domain of claim.
Claims (8)
1. a screening method based on temperature data curve, it is characterised in that including:
Obtaining temperature data curve, described temperature data curve includes the body of the x period of the d days m-th moons
Temperature data；Wherein, m is greater than the integer equal to 1, and d is less than the positive integer equal to 31, and x is 24 little
Certain period in time；
Described temperature data curve is carried out denoising, it is thus achieved that the temperature data curve after denoising；
Monthly temperature trend, every day is drawn according to the temperature data curve negotiating time series after described denoising
Temperature trend and irregular temperature change every day trend；
Circadian curve is obtained according to monthly temperature trend and temperature trend every day；
Again obtain another temperature data curve, by described circadian curve and described temperature data curve
Compare the index similarity obtaining two curves；Described temperature data is judged according to described index similarity
Whether the rhythm and pace of moving things of curve changes, if changing, being screened out, if not changing, not being screened out.
2. screening method based on temperature data curve as claimed in claim 1, it is characterised in that pass through
Thermometer measures the body temperature that body temperature obtains the t of the d days m-th moons of continuous print；And according to described company
The body temperature of the t of the d days continuous m-th moons obtains the temperature data of the x period of the d days m-th moons；
Wherein, during t is 24 hours sometime.
3. screening method based on temperature data curve as claimed in claim 1, it is characterised in that to institute
The step stating the temperature data after temperature data carries out denoising acquisition denoising includes:
Described temperature curve is divided into some sections of little curves；
Analyze the factor producing noise in every section little curve, and use corresponding according to the factor producing noise
Method carries out denoising to this section little curve；
Little curve after denoising is integrated into complete continuous print temperature curve.
4. screening method based on temperature data curve as claimed in claim 2, it is characterised in that pass through
Equation below draws monthly temperature trend, temperature trend every day and irregular temperature change every day trend:
Wherein, TmdtWhen representing the t of the d days m-th moons after denoising
The temperature data carved, TmRepresent monthly temperature trend, TmdRepresent temperature trend every day, εmdtRepresent every day not
Regular temperature alteration trend.
5. a screening system based on temperature data curve, it is characterised in that including:
Obtaining module, be used for obtaining temperature data curve, described temperature data curve includes m-th moon d
The temperature data of it x period；Wherein, m is greater than the integer equal to 1, and d equal to 31 is just less than
Integer, x is certain period in 24 hours；
Denoising module, for carrying out denoising to described temperature data curve, it is thus achieved that the temperature data after denoising is bent
Line；
Analyze module, for drawing monthly according to the temperature data curve negotiating time series after described denoising
Temperature trend, temperature trend every day and irregular temperature change every day trend；
Circadian curve module, for obtaining recently save according to monthly temperature trend and temperature trend every day
Rule curve；
Object module, for again obtaining another temperature data curve, by described circadian curve and institute
State temperature data curve and compare the index similarity obtaining two curves；Sentence according to described index similarity
Whether the rhythm and pace of moving things of fixed described temperature data curve changes, if changing, being screened out, if not changing, not being sieved
Find.
6. screening system based on temperature data curve as claimed in claim 5, it is characterised in that obtaining
Obtain in module, measure, by thermometer, the body temperature that body temperature obtains the t of the d days m-th moons of continuous print；
And when obtaining the x of the d days m-th moons according to the body temperature of the t of described the d days m-th moons of continuous print
The temperature data of section；Wherein, during t is 24 hours sometime.
7. screening system based on temperature data curve as claimed in claim 5, it is characterised in that described
Denoising module includes:
Segmentation module, for being divided into some sections of little curves by described temperature curve；
Analyze denoising module, for analyzing the factor producing noise in every section little curve, and according to producing noise
Factor use corresponding method this section little curve is carried out denoising；
Integrate module, for the little curve after denoising is integrated into complete continuous print temperature curve.
8. screening system based on temperature data curve as claimed in claim 5, it is characterised in that in institute
State in analysis module, draw monthly temperature trend, temperature trend every day by equation below and do not advise every day
Then temperature change trend:
Wherein, TmdtWhen representing the t of the d days m-th moons after denoising
The temperature data carved, TmRepresent monthly temperature trend, TmdRepresent temperature trend every day, εmdtRepresent every day not
Regular temperature alteration trend.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018218443A1 (en) * | 2017-05-27 | 2018-12-06 | 上海温尔信息科技有限公司 | Temperature display method and device |
| CN112168474A (en) * | 2020-10-30 | 2021-01-05 | 广州市中崎商业机器股份有限公司 | Electronic cooling instrument with diagnosis function and control method thereof |
| CN113679360A (en) * | 2020-05-15 | 2021-11-23 | 广东小天才科技有限公司 | Core body temperature measuring method, device, equipment and readable medium |
-
2015
- 2015-06-30 CN CN201510374238.5A patent/CN106308758A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018218443A1 (en) * | 2017-05-27 | 2018-12-06 | 上海温尔信息科技有限公司 | Temperature display method and device |
| CN113679360A (en) * | 2020-05-15 | 2021-11-23 | 广东小天才科技有限公司 | Core body temperature measuring method, device, equipment and readable medium |
| CN112168474A (en) * | 2020-10-30 | 2021-01-05 | 广州市中崎商业机器股份有限公司 | Electronic cooling instrument with diagnosis function and control method thereof |
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Application publication date: 20170111 |